摘要
电子鼻是一种能够在复杂环境下对气体进行检测的智能仪器。设计一种基于Labview的电子鼻系统,集成了多种模式识别算法,可用于具有气体性质特征的样本的检测。系统硬件构造简单,软件操作简洁,系统成本低廉。并且以4种不同品牌的食用油为例,进行了分类测试,取得了良好的识别效果。
Electronic nose is an intelligent instrument for gas detection in the complex environments. In this paper, we designed an electronic nose based on the Labview system, which integrated a variety of algorithms of pattern recognition, and it can be used for the detection of the samples with gas characteristic. The hardware of the system is simple, software is easy to operate, and low-cost. In this paper, we classified and tested four different kinds of edible oil and achieved a good recognition effect.
出处
《东北电力大学学报》
2014年第3期71-74,共4页
Journal of Northeast Electric Power University
基金
吉林省教育厅科学发展计划项目资助(教科合字201179
2012100)
